Abstract
Collaborative projects between Industry and Academia provide excellent opportunities for learning. Throughout the academic year 2014-2015 undergraduates from the School of Arts, Media and Computer Games at Abertay University worked with academics from the Infection Group at the University of St.Andrews and industry partners Microsoft and DeltaDNA. The result was a serious game prototype that utilized game design techniques and technology to demystify and educate players about the diagnosis and treatment of one of the world's oldest and deadliest diseases, Tuberculosis (TB). Project Sanitarium is a game incorporating a mathematical model that is based on data from real-world drug trials. This paper discusses the project design and development, demonstrating how the project builds on the successful collaborative pedagogical model developed by academic staff at Abertay University. The aim of the model is to provide undergraduates with workplace simulation, wider industry collaboration and access to academic expertise to solve challenging and complex problems.
Original language | English |
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Title of host publication | VS-Games 2015 |
Subtitle of host publication | 7th International Conference on Games and Virtual Worlds for Serious Applications |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 52-59 |
Number of pages | 8 |
ISBN (Electronic) | 9781479981014 |
ISBN (Print) | 9781479981021 |
DOIs | |
Publication status | Published - 2015 |
Event | 7th International Conference on Games and Virtual Worlds for Serious Applications, VS-Games 2015 - Skovde, Sweden Duration: 16 Sept 2015 → 18 Sept 2015 |
Conference
Conference | 7th International Conference on Games and Virtual Worlds for Serious Applications, VS-Games 2015 |
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Country/Territory | Sweden |
City | Skovde |
Period | 16/09/15 → 18/09/15 |
Keywords
- educational games
- games education
- games for change
- games with purpose
- serious games
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Computer Vision and Pattern Recognition